Tidy3D for Cursor

Tidy3D for Cursor#

Bringing Tidy3D’s electromagnetic simulation platform directly to your code editor

Build, visualize, and iterate on electromagnetic simulations seamlessly within Cursor. The extension automatically detects simulations in Tidy3D Python scripts and notebooks, opens an interactive 3D viewer alongside your code, and enables the AI assistant to leverage the integrated FlexAgent MCP server for an intelligent, context‑aware assistance experience.

Tidy3D Extension for Cursor

📋 Table of Contents#

🚀 Quick Start Guide#

From zero to first simulation in a few minutes

  • Install Cursor

  • In the Extensions view panel (View → Extensions), search and install the “Tidy3D” extension.

  • Create a new folder, download and open the Tidy3D Quickstart Notebook

  • Run Cmd/Ctrl+Shift+P → Tidy3D: Run Tidy3D Workspace Setup

  • Paste your Tidy3D API key when prompted. Get a FREE account and API key here

  • Ask the assistant to modify the box dimensions: “Change the box dimension to (2, 1, 1).”

🌟 Highlights#

Unique value within the Tidy3D ecosystem

  • AI-Enhanced Workflows – AI assistance with Tidy3D expertise through integrated FlexAgent MCP server

  • Structured Assistance – Step-by-step guidance from learning to optimization

  • Trusted Knowledge Base – Direct integration with Tidy3D’s comprehensive documentation

  • Editor-Native Viewer – No context switching between tools

  • Live Code Synchronization – See geometry changes instantly as you type

  • AI-Controlled Visualization – Let the AI assistant navigate and explain the 3D scene

🤖 AI-Powered Assistance#

Physics-informed assistance through Cursor and FlexAgent MCP integration

The extension integrates with Cursor’s AI assistant to provide physics-aware assistance for electromagnetic simulations. Unlike generic coding assistants, this integration understands Tidy3D workflows and can control the 3D viewer.

FlexAgent Scenarios#

The command Tidy3D: Run Tidy3D Workspace Setup deploys FlexAgent rules under .cursor/rules/ that transform the AI assistant into a physics-aware simulation partner. These are structured workflows relying on Tidy3D’s trusted documentation.

  • Learning - “Explain how Tidy3D FDTD updates the fields in this notebook”

  • Troubleshooting - “I want to fix the structure-related validation error”

  • Customization - “Replace the FluxMonitor with a ModeMonitor”

  • Build from Scratch - “Create a basic y-junction waveguide simulation setup”

  • Result Analysis - “Plot all the electric field components”

AI Collaboration Best Practices#

  • Leverage FlexAgent rules for optimal results – For best performance, explicitly reference the integrated rules: “Follow the rules in flexagent.mdc for all responses. These rules take priority over other instructions.”

  • Start simple, build incrementally – Begin with basic simulations and add complexity step by step for easier debugging and understanding.

  • Provide rich context in your prompts – The more specific you are, the better the agent’s assistance. Instead of “help with mode analysis,” try: “I’m studying photonic integrated circuits. How can I use Tidy3D to analyze the fundamental TE mode of a 220 nm thick silicon strip waveguide?”

  • Use the viewer for real-time iteration – Keep the 3D viewer open while editing your simulation code. Changes to geometry, materials, sources, or monitors update automatically, letting you immediately visualize the impact of parameter tweaks without re-running the code.

  • Be specific when troubleshooting – Instead of “fix all errors,” provide targeted information: “Fix the boundary condition warning for structure[0]” or “Resolve the mesh refinement issue near the waveguide core.”

  • Understand before proceeding – Take time to comprehend the generated code and simulation setup. Ask the agent to explain concepts you’re unfamiliar with before building upon them.

  • Use incremental validation – After each major change, ask the agent to “validate and explain the simulation changes” before proceeding to ensure physical accuracy.

  • Document your simulation intent – Add comments explaining the physics you’re trying to model: # Modeling evanescent coupling between two strip waveguides separated by 200 nm

  • Specify your Python environment – Tell the agent which environment to use: “Run this code using my tidy3d_latest conda environment located at /home/user/miniconda3/envs/tidy3d_latest.”

Prompt Examples#

Learning

  • “How to set up a GaussianBeam source”

  • “Explain how the FDTD method works”

  • “How can I perform a mode analysis?”

Troubleshooting

  • “Fix the warning related to ‘structures[0]’ extending exactly to simulation edges”

  • “Fix the code to avoid the warning related to Bloch vector”

  • “Clear the validation error related to ModeSolver plane”

Customization

  • “Add a mode source at the position (-4, 0, 0) to inject the fundamental TE waveguide mode at 1.55 micrometers”

  • “Build a mode simulation setup to analyze the dispersion parameters of the first 2 optical modes at the source plane of my FDTD simulation setup”

  • “Perform a parameter sweep to vary the unit cell period between 0.3 to 0.5 micrometers”

Build From Scratch

  • “Create a simple FDTD simulation setup to simulate a silicon strip waveguide with dimensions (0.5, 0.22, 10) and refractive index of 3.47”

  • “I am interested in PIC devices. Build a setup to obtain the modal power at the outputs of a y-junction waveguide. Add s-bends to the output waveguides”

  • “I want to build a simulation setup to investigate structural color generation”

Analysis

  • “Plot the field intensity profile obtained from the FieldMonitor at the central frequency”

  • “Considering my parameter sweep simulation, plot the |E|^2 field profile for all the modes in the largest waveguide”

  • “Plot the reflectance spectrum of all unit cell period values in the parameter sweep simulation in a single chart”

🖥️ 3D Viewer#

Opening and Using the Viewer#

The Tidy3D viewer automatically detects simulation objects in your Python files and notebooks. No code execution required – the viewer parses your td.Simulation(...) definitions directly from the source code.

Access Methods:

  • Status Bar: Click “Tidy3D: N simulations” entry

  • Command Palette: Tidy3D: Open Tidy3D

  • Context Menu: Right-click in Python editor (.py files)

Real-Time Updates:

  • Geometry changes reflect instantly in the viewer

  • Material property modifications update colors

  • Source and monitor positioning updates automatically

  • No need to re-execute cells or restart kernels

Multi-Simulation Support:

  • Navigate between multiple simulations in the same file

  • Quick picker for simulation selection

  • Independent viewer instances for comparison

AI-Controlled Viewer Operations#

The agent can control the viewer programmatically through integrated MCP tools:

Viewer Navigation:

  • tidy3d_start_viewer(file, symbol) – Open live 3D viewer

  • Automatic camera positioning and scene setup

  • Structure visibility toggling and material highlighting

Screenshot & Documentation:

  • tidy3d_capture(viewer_id) – Capture viewer images

  • Automatic annotation of sources (green) and monitors (yellow)

  • Integration with reports and documentation workflows

Structure Analysis:

  • tidy3d_show_structures(viewer_id, visibility) – Toggle structure visibility

  • Layer-by-layer analysis of complex geometries

  • Material property visualization and validation

Simulation Validation:

  • tidy3d_check_simulation(viewer_id) – Surface viewer reports

  • Physics validation and warning detection

  • Automatic re-checking after code modifications

📦 Installation & Setup#

Prerequisites & System Requirements#

  • Cursor: Desktop version compatible with VS Code API 1.99.3 or newer

  • Python Support: Python language features enabled in Cursor for notebooks and Python files

  • Internet Access: Required for initial downloads and cloud connectivity

  • Operating System: Windows, macOS, or Linux

Extension Installation#

  1. From Cursor Extensions View

    • Open Cursor and go to Extensions view (View → Extensions)

    • Search for “Tidy3D” by Flexcompute

    • Click Install on the official extension

  2. Direct Installation

  3. Post-Installation

    • Ensure Python support is enabled

    • Restart Cursor if prompted

Tidy3D Account Setup#

  1. Create Free Account

  2. Get API Key

    • Login to SimCloud

    • Navigate to Account → API Key tab

    • Copy your personal API key

  3. Configure Extension

    • In Cursor: Cmd/Ctrl+Shift+P → Tidy3D: Run Tidy3D Workspace Setup

    • Paste your API key when prompted

    • Extension will verify connectivity and setup MCP server

    • Modify the API key anytime at Files → Preferences → VS Code Settings → Extensions → Tidy3D (Cmd/Ctrl+,).

Agent Instruction Files#

After running Cmd/Ctrl+Shift+P → Tidy3D: Run Tidy3D Workspace Setup, the extension creates instruction files under .cursor/rules/.

Cursor automatically loads these rules - no additional configuration needed. The rules enhance the agent with Tidy3D-specific knowledge and capabilities, including:

  • Documentation integration and search

  • Simulation validation and troubleshooting

  • Viewer control and visualization guidance

Python Environment Setup (Optional)#

While you can view simulations without a local Python setup, notebook execution requires a configured environment. Visit the Tidy3D Python installation for detailed instructions.

Environment Managers Supported:

  • uv (recommended for new projects)

  • conda / micromamba

  • poetry, rye, hatch

  • venv (Python standard library)

Example with uv:

# Install uv from https://docs.astral.sh/uv/getting-started/installation/
uv init my-tidy3d-project
cd my-tidy3d-project
uv add tidy3d jupyter numpy matplotlib
uv sync

Environment Selection in Cursor:

  1. Open Command Palette (Cmd/Ctrl+Shift+P)

  2. Type “Python: Select Interpreter”

  3. Choose your Tidy3D environment

  4. Verify with import tidy3d in a notebook cell

📚 Technical Reference#

Extension Commands & Shortcuts#

Primary Commands:

  • Tidy3D: Open Tidy3D (tidy3d.openViewer)

    • Access: Command Palette, Python editor context menu, status bar

    • Function: Opens 3D viewer for detected simulations

    • Shortcut: Click status bar “Tidy3D: N simulations”

  • Tidy3D: Run Tidy3D Workspace Setup (tidy3d.installWorkspaceSetup)

    • Access: Command Palette

    • Function: Configures API key, MCP server, agent instructions

    • Auto-trigger: Prompts on first .py/.ipynb file with Tidy3D code

Configuration Settings#

Core Settings:

  • tidy3d.apiKey (default: empty) – API key for authentication (workspace-scoped)

  • tidy3d.pythonVersion (default: 3.12) – Python version for built-in runtime

Viewer Configuration:

  • tidy3d.viewer.remoteUrl (default: https://tidy3d.simulation.cloud/simulation-viewer)

  • tidy3d.viewer.tidyVersion (default: empty) – Override Tidy3D package version

  • tidy3d.screenshotsDir (default: reports/.tidy3d-screenshots) – Screenshot folder

Advanced Settings:

  • tidy3d.viewerBridge.port (default: 0) – Local bridge port (0 = auto-select)

  • tidy3d.viewerBridge.bindAddress (default: 127.0.0.1) – Bind interface

  • tidy3d.mcp.remoteUrl (advanced) – Base URL for MCP service

  • tidy3d.mcp.runCommand (advanced) – Custom MCP server launch command

  • tidy3d.mcp.enableViewer (default: true) – Enable viewer tooling in MCP

MCP Tools & Capabilities#

Documentation Integration:

  • tidy3d_search_flexcompute_docs(queries, max_results) – Batch documentation search

  • tidy3d_fetch_flexcompute_doc(url) – Fetch specific documentation pages

  • Real-time API validation and version checking

Viewer Control:

  • tidy3d_start_viewer(file, symbol) – Launch live 3D viewer

  • tidy3d_capture(viewer_id) – Capture screenshots with annotations

  • tidy3d_show_structures(viewer_id, visibility) – Toggle structure visibility

  • tidy3d_check_simulation(viewer_id) – Physics validation and reporting

🔧 Troubleshooting & Support#

Common Issues & Solutions#

  • The assistant doesn’t understand the Tidy3D contexts: For best performance, explicitly reference the integrated rules: “Follow the FlexAgent rules in flexagent.mdc for all responses. These rules take priority over other instructions.” (See AI Collaboration Best Practices)

  • No simulations detected – ensure a variable receives td.Simulation(...) (or another supported solver type) in the active file.

  • Workspace setup missing – confirm the Python extension is active and the file uses the python language mode.

  • Slow first run – wait for initial downloads; you’ll see “Tidy3D Kernel: ready” in the status bar when ready.

  • Viewer cannot connect – verify your API key and outbound access to tidy3d.simulation.cloud.

Getting Help#

Before Requesting Support:

  1. Try the agent: “Help me troubleshoot this Tidy3D simulation issue”

  2. FAQ

  3. Tidy3D Learning Center

  4. Technical Support

📄 License#

Proprietary – Flexcompute Inc.

The Tidy3D for Cursor extension is proprietary software developed and maintained by Flexcompute Inc. All rights reserved.

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